138 search results - page 1 / 28 » Boosting for Regression Transfer |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
NECO
2006
13 years 4 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
ECML
2005
Springer
13 years 9 months ago
2005
Springer
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
COLT
2000
Springer
13 years 8 months ago
2000
Springer
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...